├── DockerfileForPoissonExperiments ├── GEN.py ├── LICENSE ├── README.md ├── data ├── poisson_inp │ ├── 0-X.npy │ ├── 0-y.npy │ ├── 1-X.npy │ ├── 1-y.npy │ ├── 10-X.npy │ ├── 10-y.npy │ ├── 100-X.npy │ ├── 100-y.npy │ ├── 101-X.npy │ ├── 101-y.npy │ ├── 102-X.npy │ ├── 102-y.npy │ ├── 103-X.npy │ ├── 103-y.npy │ ├── 104-X.npy │ ├── 104-y.npy │ ├── 105-X.npy │ ├── 105-y.npy │ ├── 106-X.npy │ ├── 106-y.npy │ ├── 107-X.npy │ ├── 107-y.npy │ ├── 108-X.npy │ ├── 108-y.npy │ ├── 109-X.npy │ ├── 109-y.npy │ ├── 11-X.npy │ ├── 11-y.npy │ ├── 110-X.npy │ ├── 110-y.npy │ ├── 111-X.npy │ ├── 111-y.npy │ ├── 112-X.npy │ ├── 112-y.npy │ ├── 113-X.npy │ ├── 113-y.npy │ ├── 114-X.npy │ ├── 114-y.npy │ ├── 115-X.npy │ ├── 115-y.npy │ ├── 116-X.npy │ ├── 116-y.npy │ ├── 117-X.npy │ ├── 117-y.npy │ ├── 118-X.npy │ ├── 118-y.npy │ ├── 119-X.npy │ ├── 119-y.npy │ ├── 12-X.npy │ ├── 12-y.npy │ ├── 120-X.npy │ ├── 120-y.npy │ ├── 121-X.npy │ ├── 121-y.npy │ ├── 122-X.npy │ ├── 122-y.npy │ ├── 123-X.npy │ ├── 123-y.npy │ ├── 124-X.npy │ ├── 124-y.npy │ ├── 125-X.npy │ ├── 125-y.npy │ ├── 126-X.npy │ ├── 126-y.npy │ ├── 127-X.npy │ ├── 127-y.npy │ ├── 128-X.npy │ ├── 128-y.npy │ ├── 129-X.npy │ ├── 129-y.npy │ ├── 13-X.npy │ ├── 13-y.npy │ ├── 130-X.npy │ ├── 130-y.npy │ ├── 131-X.npy │ ├── 131-y.npy │ ├── 132-X.npy │ ├── 132-y.npy │ ├── 133-X.npy │ ├── 133-y.npy │ ├── 134-X.npy │ ├── 134-y.npy │ ├── 135-X.npy │ ├── 135-y.npy │ ├── 136-X.npy │ ├── 136-y.npy │ ├── 137-X.npy │ ├── 137-y.npy │ ├── 138-X.npy │ ├── 138-y.npy │ ├── 139-X.npy │ ├── 139-y.npy │ ├── 14-X.npy │ ├── 14-y.npy │ ├── 140-X.npy │ ├── 140-y.npy │ ├── 141-X.npy │ ├── 141-y.npy │ ├── 142-X.npy │ ├── 142-y.npy │ ├── 143-X.npy │ ├── 143-y.npy │ ├── 144-X.npy │ ├── 144-y.npy │ ├── 145-X.npy │ ├── 145-y.npy │ ├── 146-X.npy │ ├── 146-y.npy │ ├── 147-X.npy │ ├── 147-y.npy │ ├── 148-X.npy │ ├── 148-y.npy │ ├── 149-X.npy │ ├── 149-y.npy │ ├── 15-X.npy │ ├── 15-y.npy │ ├── 150-X.npy │ ├── 150-y.npy │ ├── 151-X.npy │ ├── 151-y.npy │ ├── 152-X.npy │ ├── 152-y.npy │ ├── 153-X.npy │ ├── 153-y.npy │ ├── 154-X.npy │ ├── 154-y.npy │ ├── 155-X.npy │ ├── 155-y.npy │ ├── 156-X.npy │ ├── 156-y.npy │ ├── 157-X.npy │ ├── 157-y.npy │ ├── 158-X.npy │ ├── 158-y.npy │ ├── 159-X.npy │ ├── 159-y.npy │ ├── 16-X.npy │ ├── 16-y.npy │ ├── 160-X.npy │ ├── 160-y.npy │ ├── 161-X.npy │ ├── 161-y.npy │ ├── 162-X.npy │ ├── 162-y.npy │ ├── 163-X.npy │ ├── 163-y.npy │ ├── 164-X.npy │ ├── 164-y.npy │ ├── 165-X.npy │ ├── 165-y.npy │ ├── 166-X.npy │ ├── 166-y.npy │ ├── 167-X.npy │ ├── 167-y.npy │ ├── 168-X.npy │ ├── 168-y.npy │ ├── 169-X.npy │ ├── 169-y.npy │ ├── 17-X.npy │ ├── 17-y.npy │ ├── 170-X.npy │ ├── 170-y.npy │ ├── 171-X.npy │ ├── 171-y.npy │ ├── 172-X.npy │ ├── 172-y.npy │ ├── 173-X.npy │ ├── 173-y.npy │ ├── 174-X.npy │ ├── 174-y.npy │ ├── 175-X.npy │ ├── 175-y.npy │ ├── 176-X.npy │ ├── 176-y.npy │ ├── 177-X.npy │ ├── 177-y.npy │ ├── 178-X.npy │ ├── 178-y.npy │ ├── 179-X.npy │ ├── 179-y.npy │ ├── 18-X.npy │ ├── 18-y.npy │ ├── 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desc_60.json │ ├── desc_61.json │ ├── desc_62.json │ ├── desc_63.json │ ├── desc_64.json │ ├── desc_65.json │ ├── desc_66.json │ ├── desc_67.json │ ├── desc_68.json │ ├── desc_69.json │ ├── desc_7.json │ ├── desc_70.json │ ├── desc_71.json │ ├── desc_72.json │ ├── desc_73.json │ ├── desc_74.json │ ├── desc_75.json │ ├── desc_76.json │ ├── desc_77.json │ ├── desc_78.json │ ├── desc_79.json │ ├── desc_8.json │ ├── desc_80.json │ ├── desc_81.json │ ├── desc_82.json │ ├── desc_83.json │ ├── desc_84.json │ ├── desc_85.json │ ├── desc_86.json │ ├── desc_87.json │ ├── desc_88.json │ ├── desc_89.json │ ├── desc_9.json │ ├── desc_90.json │ ├── desc_91.json │ ├── desc_92.json │ ├── desc_93.json │ ├── desc_94.json │ ├── desc_95.json │ ├── desc_96.json │ ├── desc_97.json │ ├── desc_98.json │ └── desc_99.json └── poisson_out.hdf5 ├── gen_datasets.py ├── gen_planargrid.py ├── gen_softnn.py ├── manim_gens.py ├── neural_processes.py ├── poisson_datasets.py ├── poisson_square_experiments.py ├── poisson_square_experiments_utils.py ├── scene_representation ├── Baseline │ ├── .DS_Store │ ├── __init__.py │ ├── composer.py │ └── modules.py ├── GEN │ ├── .DS_Store │ ├── __init__.py │ ├── composer.py │ ├── modules.py │ └── structure.py ├── dataset.py ├── embed_classify.py └── train_embed_classify.py └── utils.py /GEN.py: -------------------------------------------------------------------------------- 1 | import numpy as np 2 | import torch 3 | from torch import nn 4 | import torch.nn.functional as F 5 | from torch_geometric.data import Data, Batch 6 | from torch_geometric.nn import GraphConv, GCNConv 7 | 8 | 9 | class GEN(nn.Module): 10 | def __init__(self, encoders, decoders, G=None, msg_steps=None): 11 | super(GEN, self).__init__() 12 | self.encoders = encoders 13 | self.decoders = decoders 14 | self.G = G if G is not None else Data() 15 | self.msg_steps = msg_steps 16 | #should match w/ num_features = num_node_features 17 | self.G.num_feat = self.encoders[0].layers[-1].out_features 18 | self.G.num_dimensions = ( 19 | self.G.pos.shape[-1] if self.G.pos is not None else 20 | self.decoders[0].layers[0].in_features - self.G.num_feat) 21 | for enc in self.encoders: 22 | assert enc.layers[-1].out_features == self.G.num_feat 23 | for dec in self.decoders: 24 | assert (dec.layers[0].in_features == 25 | self.G.num_feat + self.G.num_dimensions) 26 | self.conv = GCNConv(self.G.num_feat + self.G.num_dimensions, 27 | self.G.num_feat) #position shouldn't be touched 28 | self.layer_norm = nn.modules.normalization.LayerNorm(self.G.num_feat) 29 | 30 | def set_node_pos(self, node_pos): 31 | self.G.pos = node_pos 32 | 33 | def set_msg_steps(self, msg_steps): 34 | self.msg_steps = msg_steps 35 | 36 | def forward(self, Inp, Q, G=None, repr_fn_args={}): 37 | ''' 38 | Inp: list of input points (X, y_i) of function i 39 | Q: list of queries X for function j 40 | ''' 41 | if G is None: G = self.G 42 | else: 43 | G.num_feat = self.G.num_feat 44 | G.num_dimensions = self.G.num_dimensions 45 | assert G.pos is not None 46 | if hasattr(G, 'msg_steps'): msg_steps = G.msg_steps 47 | if msg_steps is None: 48 | if self.msg_steps is not None: msg_steps = self.msg_steps 49 | else: msg_steps = G.num_nodes*2-1 50 | # Encode all inputs 51 | inputs = [] #(BS, #inp, feat) 52 | for (inp, enc) in zip(Inp, self.encoders): 53 | res = (enc(torch.cat((inp[0], inp[1]), dim=-1))) 54 | inputs.append(res) 55 | inputs = torch.cat(inputs, dim=1) 56 | x_inp = torch.cat([inp[0] for inp in Inp], dim=1) 57 | # Initialize GNN node states with representation function 58 | inp_coord = self.repr_fn(G.pos, x_inp, **repr_fn_args) 59 | G.x = torch.bmm(torch.transpose(inp_coord, 1, 2), inputs) 60 | bs, num_nodes, f = G.x.shape 61 | # Create Batch to feed to GNN 62 | data_list = [Data(x=x.squeeze(0), pos=G.pos, edge_index=G.edge_index) 63 | for x in torch.split(G.x,split_size_or_sections=1,dim=0)] 64 | SG = Batch.from_data_list(data_list) 65 | 66 | # Propagate GNN states with message passing 67 | for step in range(msg_steps): 68 | SG.x = self.layer_norm(SG.x + self.conv( 69 | torch.cat((SG.pos, SG.x), dim=-1), SG.edge_index)) 70 | G.x = SG.x.reshape((SG.num_graphs,-1,f)) 71 | 72 | queries = [] #(BS, #out, feat) 73 | # Decode hidden states to final outputs 74 | res = [] 75 | for (q, dec) in zip(Q, self.decoders): 76 | q_coord = self.repr_fn(G.pos, q, **repr_fn_args) 77 | lat = torch.bmm(q_coord, G.x) 78 | res.append(dec(torch.cat((lat, q), dim=-1))) 79 | return res 80 | 81 | def repr_fn(self, **kwargs): 82 | raise NotImplementedError("the default GEN class doesn't have \ 83 | the repr_fn implemented, a reasonable default is GENSoftNN") 84 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2022 FerranAlet 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Graph Element Networks 2 | Code for the [paper](http://proceedings.mlr.press/v97/alet19a.html) Graph Element Networks: adaptive, structured computation and memory. See [here](https://arxiv.org/abs/1904.09019) for the arxiv link. 3 | 4 | You can see the talk summarizing the paper [here](https://www.youtube.com/watch?v=wp9CjkOQm48). 5 | ## Simplified and faster code for Poisson experiments 6 | Since the paper, we have simplified the code, now relying on [pytorch_geometric](https://github.com/rusty1s/pytorch_geometric), which also optimizes the runtime of GNNs. 7 | 8 | Now the code is faster and **easy to customize**. In particular, the [GEN](https://github.com/FerranAlet/graph_element_networks/blob/master/GEN.py) file contains the class that can be customized, as shown in [GENSoftNN](https://github.com/FerranAlet/graph_element_networks/blob/master/gen_softnn.py). 9 | 10 | Despite a couple minor changes to make the code faster and runnable inside a Docker container (see the Dockerfile), we checked that results are very similar to the original ones. 11 | 12 | You can download the image files to visualize the node optimization experiments [here](https://drive.google.com/drive/folders/1T02Imopghpxg8ajiVw5jjrcj2pY2EpS_?usp=sharing). 13 | ## Code for the scene representation experiments 14 | You can find the self-contained code for the scene representation experiments in the [scene_representation folder](https://github.com/FerranAlet/graph_element_networks/tree/master/scene_representation) folder and the Graph Element Network code in the [composer](https://github.com/FerranAlet/graph_element_networks/blob/master/scene_representation/GEN/composer.py) and the representation function [here](https://github.com/FerranAlet/graph_element_networks/blob/master/scene_representation/GEN/structure.py#L63). 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torch.utils.data import Dataset 2 | 3 | class FTDataset(Dataset): 4 | ''' 5 | Function Transformation Dataset: each element in this (meta)dataset 6 | is a pair of lists of datasets: 7 | ([one dataset per input function], [one dataset per output function]) 8 | Each dataset is a pair (X, y_i) and all X leave in the same space. 9 | ''' 10 | def __init__(self, inp_datasets, inp_datasets_args, 11 | out_datasets, out_datasets_args, 12 | idx_list=None, cuda=False): 13 | ''' 14 | inp_datasets: list of pytorch Dataset classes for inp functions 15 | inp_datasets_args: list of tuples of arguments for each inp class 16 | out_datasets: list of pytorch Dataset classes for out functions 17 | out_datasets_args: list of tuples of arguments for each out class 18 | ''' 19 | self.InpDatasets = [ D(**a) 20 | for (D,a) in zip(inp_datasets, inp_datasets_args) ] 21 | self.n_inp = len(self.InpDatasets) 22 | self.OutDatasets = [ D(**a) 23 | for (D,a) in zip(out_datasets, out_datasets_args) ] 24 | self.n_out = len(self.OutDatasets) 25 | self.size = len(self.InpDatasets[0]) 26 | for d in self.InpDatasets + self.OutDatasets: 27 | assert len(d) == self.size, str(len(d)) + ' ' + str(self.size) 28 | 29 | #TODO: check that all X leave in the same space 30 | 31 | def __len__(self): 32 | return self.size 33 | 34 | def __getitem__(self, idx): 35 | ''' 36 | Returns a pair (Inp,Out) of lists of tensors. 37 | We call all the appropriate datasets with the same index idx. 38 | ''' 39 | return ([d[idx] for d in self.InpDatasets], 40 | [d[idx] for d in self.OutDatasets]), idx 41 | 42 | -------------------------------------------------------------------------------- /gen_planargrid.py: -------------------------------------------------------------------------------- 1 | import numpy as np 2 | import torch 3 | from torch import nn 4 | import torch.nn.functional as F 5 | from GEN import GEN 6 | 7 | 8 | class GENPlanarGrid(GEN): 9 | def __init__(self, **kwargs): 10 | super(GENPlanarGrid, self).__init__(**kwargs) 11 | self.grid_info = None 12 | self._EPS = 1e-7 13 | 14 | def repr_fn(self, node_pos, x_inp, **kwargs): 15 | return self.compute_coordinates_planar_grid(node_pos, x_inp, **kwargs) 16 | 17 | def set_grid_info(self, grid_info): 18 | self.grid_info = grid_info 19 | 20 | def compute_coordinates_planar_grid(self, node_pos, x, grid_info=None): 21 | if grid_info is None: grid_info = self.grid_info 22 | assert grid_info is not None 23 | #Take out batch dimension 24 | bs = 1 if len(x.shape) == 2 else x.shape[0] 25 | inps_per_elt, features = x.shape[-2], x.shape[-1] 26 | pos = x.reshape(-1,features)[:,:2] 27 | #Find the correct square 28 | nx = torch.nn.functional.relu( 29 | (pos[:,0]-self._EPS)/grid_info['dx']).floor_().long() 30 | ny = torch.nn.functional.relu( 31 | (pos[:,1]-self._EPS)/grid_info['dy']).floor_().long() 32 | bottom_left_idx = nx * grid_info['n_y'] + ny 33 | bottom_left = torch.index_select(node_pos, dim=0, index=bottom_left_idx) 34 | bottom_right_idx = nx * grid_info['n_y'] + ny + 1 35 | bottom_right = torch.index_select( 36 | node_pos, dim=0, index=bottom_right_idx) 37 | top_left_idx = (nx+1) * grid_info['n_y'] + ny 38 | top_left = torch.index_select(node_pos, dim=0, index=top_left_idx) 39 | top_right_idx = (nx+1) * grid_info['n_y'] + ny + 1 40 | top_right = torch.index_select(node_pos, dim=0, index=top_right_idx) 41 | # Here we use a math trick to compute the weightings 42 | # each point is in a square, which we'll normalize to width,height (1,1) 43 | # The weighting of each point is equal to the area of the rectangle 44 | # between pos and the opposite corner. 45 | dd = torch.FloatTensor([ 46 | grid_info['dx'], grid_info['dy']]).to(device=top_right.device) 47 | bottom_left_score = torch.prod(torch.abs(top_right - pos)/dd, dim=1) 48 | bottom_right_score = torch.prod(torch.abs(top_left - pos)/dd, dim=1) 49 | top_left_score = torch.prod(torch.abs(bottom_right - pos)/dd, dim=1) 50 | top_right_score = torch.prod(torch.abs(bottom_left - pos)/dd, dim=1) 51 | scores = torch.zeros(pos.shape[0], node_pos.shape[0]).to(device=dd.device) 52 | scores.scatter_(dim=1, index=torch.unsqueeze(bottom_left_idx, dim=1), 53 | src=torch.unsqueeze(bottom_left_score, dim=1)) 54 | scores.scatter_(dim=1, index=torch.unsqueeze(bottom_right_idx, dim=1), 55 | src=torch.unsqueeze(bottom_right_score, dim=1)) 56 | scores.scatter_(dim=1, index=torch.unsqueeze(top_left_idx, dim=1), 57 | src=torch.unsqueeze(top_left_score, dim=1)) 58 | scores.scatter_(dim=1, index=torch.unsqueeze(top_right_idx, dim=1), 59 | src=torch.unsqueeze(top_right_score, dim=1)) 60 | return scores.reshape((bs, inps_per_elt, -1)) 61 | 62 | def forward(self, Inp, Q, G=None, msg_steps=None, repr_fn_args={}): 63 | if G is not None: self.set_grid_info(G.grid_info) 64 | return super(GENPlanarGrid, self).__init__(**kwargs) 65 | -------------------------------------------------------------------------------- /gen_softnn.py: -------------------------------------------------------------------------------- 1 | import numpy as np 2 | import torch 3 | from torch import nn 4 | import torch.nn.functional as F 5 | from GEN import GEN 6 | 7 | 8 | class GENSoftNN(GEN): 9 | def __init__(self, **kwargs): 10 | super(GENSoftNN, self).__init__(**kwargs) 11 | self.repr_fn_log_strength = torch.nn.Parameter(torch.zeros(1)) 12 | 13 | def repr_fn(self, node_pos, x_inp, **kwargs): 14 | return self.compute_coordinates_soft_nn(node_pos, x_inp, **kwargs) 15 | 16 | def set_repr_fn_log_strength(self, log_strength): 17 | self.repr_fn_log_strength = log_strength 18 | 19 | def compute_coordinates_soft_nn(self, node_pos, x, log_strength=None): 20 | if log_strength is None: log_strength = self.repr_fn_log_strength 21 | assert log_strength is not None 22 | #Take out batch dimension 23 | bs = 1 if len(x.shape) == 2 else x.shape[0] 24 | inps_per_elt, features = x.shape[-2], x.shape[-1] 25 | pos = x.reshape(-1,features)[:,:2] 26 | #Compute pseudo-Squared Error distance 27 | #Using (x-y)^2 = x^2-2xy+y^2 \equivalent (y ctt) x^2-2xy 28 | pseudo_dist = ( 29 | torch.norm(node_pos, dim=1)**2 - 2*torch.mm(pos, node_pos.t())) 30 | scores = (F.softmax(-torch.exp(log_strength)*pseudo_dist, dim=1)) 31 | return scores.reshape((bs, inps_per_elt, -1)) 32 | -------------------------------------------------------------------------------- /neural_processes.py: -------------------------------------------------------------------------------- 1 | import numpy as np 2 | import torch 3 | from torch import nn 4 | 5 | class NeuralProcesses(nn.Module): 6 | def __init__(self, encoders, decoders): 7 | super(NeuralProcesses, self).__init__() 8 | self.encoders = encoders 9 | self.decoders = decoders 10 | 11 | def forward(self, Inp, Q): 12 | ''' 13 | Inp: list of input points (X, y_i) of function i 14 | Q: list of queries X for function j 15 | ''' 16 | aux = [] 17 | #(BS, #inp, feat) 18 | for (inp, enc) in zip(Inp, self.encoders): 19 | res = (enc(torch.cat((inp[0], inp[1]), dim=-1))) 20 | aux.append(res) 21 | aux = torch.cat(aux, dim=1) 22 | inp_summ = torch.mean(aux, dim=1, keepdim=True) #[BS, 1, feat] 23 | res = [] 24 | for (q, dec) in zip(Q, self.decoders): 25 | dec_inp = torch.cat((inp_summ.repeat(1, q.shape[1], 1), q), dim=2) 26 | res.append(dec(dec_inp)) 27 | return res 28 | -------------------------------------------------------------------------------- /scene_representation/Baseline/.DS_Store: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/FerranAlet/graph_element_networks/c3f80a257892a8894f9f67786e084210a59f8904/scene_representation/Baseline/.DS_Store -------------------------------------------------------------------------------- /scene_representation/Baseline/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/FerranAlet/graph_element_networks/c3f80a257892a8894f9f67786e084210a59f8904/scene_representation/Baseline/__init__.py -------------------------------------------------------------------------------- /scene_representation/Baseline/composer.py: -------------------------------------------------------------------------------- 1 | import torch 2 | import torch.nn as nn 3 | from Baseline.modules import Pool 4 | 5 | class Baseline_Composer(nn.Module): 6 | def __init__(self, num_copies=0): 7 | super(Baseline_Composer, self).__init__() 8 | self.embedder = Pool() 9 | self.num_copies = num_copies 10 | 11 | def forward(self, view_frames, view_poses, query_poses): 12 | bs, num_views_per_query = view_frames.shape[:2] 13 | r = view_frames.new_zeros((bs, 254)) 14 | 15 | for k in range(num_views_per_query): 16 | r += self.embedder(view_frames[:, k], view_poses[:, k]).squeeze(3).squeeze(2) 17 | 18 | # Add pose coordinates to head of embeddings 19 | # First two added to replicate behaviour of GEN and include x,y even when num_copies=0 20 | embeddings = torch.cat([query_poses[:,:,:2]] + [query_poses]*self.num_copies + [r.unsqueeze(1).repeat(1, query_poses.shape[1], 1)], dim=2) 21 | return embeddings 22 | 23 | def refresh_structure(self, scenes_per_dim_train, shift_train): 24 | # No structure in Baseline composer, exists to meet specs for a composer like the GEN composer 25 | return -------------------------------------------------------------------------------- /scene_representation/GEN/.DS_Store: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/FerranAlet/graph_element_networks/c3f80a257892a8894f9f67786e084210a59f8904/scene_representation/GEN/.DS_Store -------------------------------------------------------------------------------- /scene_representation/GEN/__init__.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/FerranAlet/graph_element_networks/c3f80a257892a8894f9f67786e084210a59f8904/scene_representation/GEN/__init__.py -------------------------------------------------------------------------------- /scene_representation/GEN/modules.py: -------------------------------------------------------------------------------- 1 | import torch.nn as nn 2 | import torch.nn.functional as F 3 | import torch 4 | 5 | class NodeModule(nn.Module): 6 | def __init__(self): 7 | super(NodeModule, self).__init__() 8 | self.fc0 = nn.Linear(in_features=512, out_features=512) 9 | self.fc0bn = nn.BatchNorm1d(512) 10 | self.fc1 = nn.Linear(in_features=512, out_features=254) 11 | self.fc1bn = nn.BatchNorm1d(254) 12 | 13 | def forward(self, x): 14 | x = F.relu(self.fc0bn(self.fc0(x))) 15 | return self.fc1bn(self.fc1(x)) 16 | 17 | 18 | class EdgeModule(nn.Module): 19 | def __init__(self): 20 | super(EdgeModule, self).__init__() 21 | self.fc0 = nn.Linear(in_features=512, out_features=512) 22 | self.fc0bn = nn.BatchNorm1d(512) 23 | self.fc1 = nn.Linear(in_features=512, out_features=256) 24 | self.fc1bn = nn.BatchNorm1d(256) 25 | def forward(self, x): 26 | x = F.relu(self.fc0bn(self.fc0(x))) 27 | return self.fc1bn(self.fc1(x)) 28 | 29 | 30 | # Pool is re-used in Baseline and GENs 31 | class Pool(nn.Module): 32 | def __init__(self): 33 | super(Pool, self).__init__() 34 | self.conv1 = nn.Conv2d(3, 256, kernel_size=2, stride=2) 35 | self.conv1bn = nn.BatchNorm2d(256) 36 | self.conv2 = nn.Conv2d(256, 256, kernel_size=2, stride=2) 37 | self.conv2bn = nn.BatchNorm2d(256) 38 | self.conv3 = nn.Conv2d(256, 128, kernel_size=3, stride=1, padding=1) 39 | self.conv3bn = nn.BatchNorm2d(128) 40 | self.conv4 = nn.Conv2d(128, 256, kernel_size=2, stride=2) 41 | self.conv4bn = nn.BatchNorm2d(256) 42 | self.conv5 = nn.Conv2d(256+7, 256, kernel_size=3, stride=1, padding=1) 43 | self.conv5bn = nn.BatchNorm2d(256) 44 | self.conv6 = nn.Conv2d(256+7, 128, kernel_size=3, stride=1, padding=1) 45 | self.conv6bn = nn.BatchNorm2d(128) 46 | self.conv7 = nn.Conv2d(128, 256, kernel_size=3, stride=1, padding=1) 47 | self.conv7bn = nn.BatchNorm2d(256) 48 | self.conv8 = nn.Conv2d(256, 254, kernel_size=1, stride=1) 49 | self.conv8bn = nn.BatchNorm2d(254) 50 | self.pool = nn.AvgPool2d(16) 51 | 52 | def forward(self, x, v): 53 | # Resisual connection 54 | skip_in = F.relu(self.conv1bn(self.conv1(x))) 55 | skip_out = F.relu(self.conv2bn(self.conv2(skip_in))) 56 | 57 | r = F.relu(self.conv3bn(self.conv3(skip_in))) 58 | r = F.relu(self.conv4bn(self.conv4(r))) + skip_out 59 | 60 | # Broadcast 61 | v = v.view(v.size(0), 7, 1, 1).repeat(1, 1, 16, 16) 62 | 63 | # Resisual connection 64 | # Concatenate 65 | skip_in = torch.cat((r, v), dim=1) 66 | skip_out = F.relu(self.conv5bn(self.conv5(skip_in))) 67 | 68 | r = F.relu(self.conv6bn(self.conv6(skip_in))) 69 | r = F.relu(self.conv7bn(self.conv7(r))) + skip_out 70 | r = F.relu(self.conv8bn(self.conv8(r))) 71 | 72 | # Pool 73 | r = self.pool(r) 74 | 75 | return r -------------------------------------------------------------------------------- /utils.py: -------------------------------------------------------------------------------- 1 | import torch 2 | from torch import nn 3 | import torch.nn.functional as F 4 | 5 | class Net(nn.Module): 6 | def __init__(self, dims): 7 | super(Net, self).__init__() 8 | self.layers = nn.ModuleList() 9 | self.dims = dims 10 | for i in range(len(self.dims)-1): 11 | self.layers.append(nn.Linear(self.dims[i], self.dims[i+1])) 12 | 13 | def forward(self, x): 14 | for i in range(len(self.layers)): 15 | x = self.layers[i](x) 16 | if i+1 < len(self.layers): 17 | x = F.relu(x) 18 | return x 19 | --------------------------------------------------------------------------------